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1.
Rev. Fac. Med. Hum ; 23(3)jul. 2023.
Artigo em Espanhol | LILACS-Express | LILACS | ID: biblio-1535200

RESUMO

Introducción: El síndrome metabólico se ha asociado con cambios en parámetros hematológicos (glóbulos rojos, plaquetas y leucocitos); se pueden utilizar para identificar sujetos en riesgo de fenotipos metabólicamente no saludables (MUP). Se investigó si estos parámetros hematológicos sirven como biomarcadores para distinguir el fenotipo metabólicamente sano (MHP) del MUP en niños y adolescentes. Métodos: Estudio transversal, 292 niños y adolescentes. El diagnóstico de MUP fue según consenso. Se utilizó ANOVA unidireccional en las comparaciones, regresión logística múltiple para determinar si el sexo, el grupo etario, el estado nutricional, la pubertad, los parámetros hematológicos y la resistencia a la insulina se asociaron con MUP. Resultados: Edad media 11 años (DE: 2,61). Los valores de RDW fueron significativamente más bajos en los niños en el grupo de peso normal metabólicamente insalubre (MUNW) en comparación con los niños con obesidad metabólicamente no saludable (MUO) (12,33 ± 0,90 vs. 13,67 ± 0,52; p = 0,01) y en la obesidad metabólicamente saludable (MHO) en comparación con el grupo MUO (13,15 ± 0,53 vs. 13,67 ± 0,52; p = 0,04). En adolescentes, la relación plaquetas/linfocitos fue mayor en el grupo MHNW (con un valor medio de 152,60 (DE 62,97) vs 111,16 (DE 44,12) para el grupo MHO. Al ajustar por edad, estado nutricional y pubertad, los índices hematológicos no se asociaron con MUP. Conclusión: Los parámetros hematológicos no están asociados independientemente con el MUP, y es poco probable que representen biomarcadores confiables para la detección del MUP en la población pediátrica.


Introduction: Metabolic syndrome has been associated with changes in several hematological parameters, such as red blood cells, platelets, and leucocytes. Therefore, hematologic parameters can be used to identify the subjects at risk of metabolically unhealthy phenotypes (MUP). The current study investigated if hematological parameters can serve as biomarkers to distinguish metabolically healthy phenotype (MHP) from MUP in children and adolescents. Methods: Two hundred ninety-two children and adolescents were enrolled in this cross-sectional study. The MUP was diagnosed using consensus-based criteria. Group comparisons were performed using one-way ANOVA. Multiple logistic regression analysis was used to determine if sex, age group, nutritional status, puberty, hematological parameters, and insulin resistance were associated with MUP. Results: The subject's age mean was 11 years (SD: 2.61). RDW values were significantly lower in children in the metabolically unhealthy normal weight (MUNW) group compared to children with metabolically unhealthy obesity (MUO) group (12.33 ± 0.90 vs. 13.67 ± 0.52; p = 0.01) and in metabolically healthy obesity (MHO) compared to MUO group (13.15 ± 0.53 vs. 13.67 ± 0.52; p = 0.04). In adolescents, the platelet-to-lymphocyte ratio was higher in the MHNW group, with a mean value of 152.60 (SD 62.97) compared to 111.16 (SD 44.12) for the MHO group. However, after adjusting for age, nutritional status, and puberty, hematological indices were not associated with MUP. Conclusions: The study demonstrates that hematologic parameters are not independently associated with the MUP, and it is unlikely that they represent reliable biomarkers for screening for the MUP in the pediatric population.

2.
JAMA Netw Open ; 2(12): e1917643, 2019 12 02.
Artigo em Inglês | MEDLINE | ID: mdl-31851346

RESUMO

Importance: Environmental risk factors for childhood type 2 diabetes, an increasing global problem, are understudied. Air pollution exposure has been reported to be a risk factor for this condition. Objective: To examine the association between prenatal and perinatal exposures to fine particulate matter with a diameter less than 2.5 µm (PM2.5) and changes in hemoglobin A1c (HbA1c), a measure of glycated hemoglobin and marker of glucose dysregulation, in children aged 4 to 7 years. Design, Setting, and Participants: The Programming Research in Obesity, Growth, Environment, and Social Stressors (PROGRESS) study, a birth cohort study conducted in Mexico City, Mexico, recruited pregnant women from July 3, 2007, to February 21, 2011, through public health maternity clinics. The present analysis includes 365 mother-child pairs followed up until the child was approximately 7 years of age. This study included data from only study visits at approximately 4 to 5 years (visit 1) and 6 to 7 years (visit 2) post partum because HbA1c levels were not measured in earlier visits. The data were analyzed from March 11, 2018, to May 3, 2019. Exposures: Daily PM2.5 exposure estimates at participants' home addresses from 4 weeks prior to mothers' date of last menstrual period (LMP), a marker of the beginning of pregnancy, to 12 weeks after the due date. Exposure was estimated from satellite measurements and calibrated against ground PM2.5 measurements, land use, and meteorological variables. Main Outcomes and Measures: Outcomes included HbA1c levels at 4 to 5 years and 6 to 7 years of age, and the change in the level from the former age group to the latter. Results: The sample included 365 children, of whom 184 (50.4%) were girls. The mean (range) age of the children was 4.8 (4.0-6.4) years at visit 1, and 6.7 (6.0-9.7) years at visit 2. At the time of delivery, the mean (range) age of the mothers was 27.7 (18.3-44.4) years, with a mean (range) prepregnancy body mass index of 26.4 (18.5-43.5). The mean (SD) prenatal PM2.5 exposure (22.4 µg/m3 [2.7 µg/m3]) was associated with an annual increase in HbA1c levels of 0.25% (95% CI, 0.004%-0.50%) from age 4 to 5 years to 6 to 7 years compared with exposure at 12 µg/m3, the national regulatory standard in Mexico. Sex-specific effect estimates were statistically significant for girls (ß = 0.21%; 95% CI, 0.10% to 0.32%) but not for boys (ß = 0.31%; 95% CI, -0.09% to 0.72%). The statistically significant windows of exposure were from week 28 to 50.6 after the mother's LMP for the overall cohort and from week 11 to the end of the study period for girls. Lower HbA1c levels were observed at age 4 to 5 years in girls (ß = -0.72%; 95% CI, -1.31% to -0.13%, exposure window from week 16 to 37.3) and boys (ß = -0.98%; 95% CI, -1.70% to -0.26%, exposure window from the beginning of the study period to week 32.7), but no significant association was found in the overall cohort (ß = -0.13%; 95% CI, -1.27% to 1.01%). There was no significant association between PM2.5 exposure and HbA1c level at age 6 to 7 years in any group. Conclusions and Relevance: The findings of this study suggest that prenatal and perinatal exposures to PM2.5 are associated with changes in HbA1c, which are indicative of glucose dysregulation, in early childhood. Further research is needed because this finding may represent a risk factor for childhood or adolescent diabetes.


Assuntos
Poluentes Atmosféricos/toxicidade , Poluição do Ar/efeitos adversos , Diabetes Mellitus Tipo 2/etiologia , Exposição Ambiental/efeitos adversos , Hemoglobinas Glicadas/metabolismo , Material Particulado/toxicidade , Efeitos Tardios da Exposição Pré-Natal/etiologia , Poluição do Ar/estatística & dados numéricos , Biomarcadores/sangue , Criança , Pré-Escolar , Diabetes Mellitus Tipo 2/sangue , Diabetes Mellitus Tipo 2/diagnóstico , Diabetes Mellitus Tipo 2/epidemiologia , Exposição Ambiental/estatística & dados numéricos , Feminino , Humanos , Masculino , México/epidemiologia , Gravidez , Efeitos Tardios da Exposição Pré-Natal/sangue , Efeitos Tardios da Exposição Pré-Natal/diagnóstico , Efeitos Tardios da Exposição Pré-Natal/epidemiologia , Estudos Prospectivos , Fatores de Risco
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